Agentic Index
HoneyHive vs LangWatch (2026)
Both score 6.5 of 14, both are OpenTelemetry native and both trace and evaluate agents, which makes this unusually like for like.
LangWatch is open source and self hostable with scenario based simulation and a built in AI gateway, free cloud to 200,000 events. HoneyHive combines automated and human evaluation across development and production with a versioned system of record, free developer tier to 10,000 events and five users. LangWatch simulates scenarios before production; HoneyHive versions what happened so you can compare across time.
Choose HoneyHive if
- A versioned system of record is what lets you prove a change actually improved things.
- Human evaluation alongside automated scoring is the combination you need.
- Development and production in one platform matches your workflow.
Choose LangWatch if
- Scenario based simulation catches failures before users do.
- Open source self hosting is a requirement rather than a preference.
- A built in gateway means one fewer component in your stack.
| At a glance | HoneyHive | LangWatch |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Free Developer tier (10K events/mo, 5 users) · Enterprise contact sales | Open source self host free; free cloud (200k events/mo); about $31 (29 euro) per seat plus usage |
| Free / trial | Free Developer tier: 10,000 events/month, up to 5 users, single workspace, 30 day retention, full observability and evaluation suite, no card. Startup discounts for companies under $5M raised. | Apache 2.0 open source free to self host, plus a free cloud tier of 200,000 events a month |
| Pricing confidence | public partial | public exact |
| Feature | H HoneyHive |
L LangWatch |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | No / Not documented |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Partial |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | H HoneyHive |
L LangWatch |
|---|---|---|
|
Entry price Lowest public entry point |
Free Developer tier (10K events/mo, 5 users) · Enterprise contact sales | Open source self host free; free cloud (200k events/mo); about $31 (29 euro) per seat plus usage |
|
Pricing confidence How public the numbers are |
Public — partial | Public — exact |
|
Billing Primary billing axis |
Event volume (trace spans plus metrics), users, retention, and hosting model; paid Enterprise pricing is custom and quoted on request | seats plus events |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Mixed |